Manoj Sukhavasi is a software engineer with a decade of experience building ML-driven and cloud-native systems, currently contributing at Amazon from Bengaluru. He has led end-to-end ML projects—from founding a sports-AI startup that automated event detection in video to building federated learning frameworks and accuracy analyzers that cut model-debugging time by up to 90%. His background spans VLSI tooling and embedded verification to production deployments on AWS (ECS, Batch, Lambda, RDS), reflecting a rare mix of low-level optimization and large-scale ML infrastructure expertise. Notably, he has repeatedly improved runtime and extraction algorithms for complex model and EDA graphs, demonstrating both algorithmic depth and practical impact.
Contributions:15 pushes, 1 branch in 1 year 3 months
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